dc.description.abstract | This study focussed on e-procurement practices and performance in state corporations and the
study objectives were to establish the extent of e-procurement adoption among state corporations
in Kenya, the challenges facing the adoption of e-procurement among state corporations in
Kenya and the relationship between e-procurement and procurement performance among state
corporations in Kenya. The target population of the study were all the state corporations in
Kenya totaling two hundred and ten (210). A sample of 42 state corporations was taken out of
this sampling frame. Data was collected through questionnaires. Analysis of the data was done
using frequency and percentage tables to analyze the demographic information provided
regarding the respondents and the organization, mean and standard deviation was used to analyze
the various e-procurement practices adopted by the state corporations, data on challenges facing
adoption of e-procurement was analyzed using means, standard deviation and factor analysis,
whereas regression, means and standard deviation was used to analyze relationship between eprocurement
and procurement performance among state corporations. The study found out that
state corporations have adopted various e-procurement procurement practices to enhance their
procurement performance. The regression analysis conducted revealed that the respective eprocurement
practices adopted by state corporations have had a significant impact on their
procurement performance The study recommends that; the national government through line
ministries should put an effort to bring the remnant state corporations to adopt e-procurement.
The study reiterates the need for the relevant government organs to address the various
challenges outlined in the study in order to make the goals of the e- procurement project feasible,
and the need for more investments into research in critical success factors for successful adoption
of e -procurement among state corporations in Kenya. The study was limited time constraints. | en_US |